Syndromic Surveillance System Paper
Syndromic Surveillance System
Robert Asuncion, Robert Cabico, Carlos Raiz Enciso,
Kelly Reilly, Mariann Rimer, Ginger Sacco
HCS/533
November 3, 2014
Juanita Darby
Syndromic Surveillance System
Introduction
The syndromic surveillance system is an innovative information system, which is based in the data collections of preclinical indicators, identifying illness clusters early before diagnosis is confirmed. This kind of system information is most of the time utilized by public health agencies, with the purpose of creating a national system of outbreaks prevention. When an initial preclinical or illness cluster is reported, the designated team makes a full description of the information received. It also classify the episode by size, how its spread, portion of the population affected, validation of outbreak signal comparing this with a baseline periods, the establishment of signal to case ratios, and the evaluation of early warning potential of an outbreak. Several surveillance procedures were used prior of the bioterrorism attack in 2001 with bacillus athracis that were …show more content…
Data quality needs to be as accurate as possible. Data has to be representative of the population, both geographically and the distribution of the outbreak, and needs to be complete. When data doesn’t represent the breadth of the outbreak and isn’t complete, statistical analysis will not be reliable. With poor data quality there are irregularities in data formats data values, and data definitions, which makes it impossible to use or understand (Haug, Zachariassen, & Liempd, 2011). Poor quality data can be costly; it can affect the decision-making process, and it can delay treatment or misdiagnosis a disease. Loss of public trust due to misdiagnosing an outbreak can have severe consequences. Data has to be reliable, and it has to be complete to prevent an outbreak of a misdiagnosed
Robert Asuncion, Robert Cabico, Carlos Raiz Enciso,
Kelly Reilly, Mariann Rimer, Ginger Sacco
HCS/533
November 3, 2014
Juanita Darby
Syndromic Surveillance System
Introduction
The syndromic surveillance system is an innovative information system, which is based in the data collections of preclinical indicators, identifying illness clusters early before diagnosis is confirmed. This kind of system information is most of the time utilized by public health agencies, with the purpose of creating a national system of outbreaks prevention. When an initial preclinical or illness cluster is reported, the designated team makes a full description of the information received. It also classify the episode by size, how its spread, portion of the population affected, validation of outbreak signal comparing this with a baseline periods, the establishment of signal to case ratios, and the evaluation of early warning potential of an outbreak. Several surveillance procedures were used prior of the bioterrorism attack in 2001 with bacillus athracis that were …show more content…
Data quality needs to be as accurate as possible. Data has to be representative of the population, both geographically and the distribution of the outbreak, and needs to be complete. When data doesn’t represent the breadth of the outbreak and isn’t complete, statistical analysis will not be reliable. With poor data quality there are irregularities in data formats data values, and data definitions, which makes it impossible to use or understand (Haug, Zachariassen, & Liempd, 2011). Poor quality data can be costly; it can affect the decision-making process, and it can delay treatment or misdiagnosis a disease. Loss of public trust due to misdiagnosing an outbreak can have severe consequences. Data has to be reliable, and it has to be complete to prevent an outbreak of a misdiagnosed